Zobrazeno 1 - 10
of 162
pro vyhledávání: '"J. Christian Gerdes"'
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 4, Pp 130-142 (2023)
Safe autonomous driving approaches should be capable of quickly and efficiently learning as professional drivers do, while also using all of the available road-tire friction for safety. Inspired by how skilled drivers learn, we demonstrate improvemen
Externí odkaz:
https://doaj.org/article/8a776f21d28546958c20c2546e119a9c
Autor:
S. M. Hadi Hosseini, Jennifer L. Bruno, Joseph M. Baker, Andrew Gundran, Lene K. Harbott, J. Christian Gerdes, Allan L. Reiss
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
Abstract Visuomotor ability is quite crucial for everyday functioning, particularly in driving and sports. While there is accumulating evidence regarding neural correlates of visuomotor transformation, less is known about the brain regions that accom
Externí odkaz:
https://doaj.org/article/d40cb064da04417c9b242291ff24de6a
This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall
Ist das voll automatisierte, autonom fahrende Auto zum Greifen nah? Testfahrzeuge und Zulassungen in den USA erwecken diesen Eindruck, werfen aber gleichzeitig viele neue Fragestellungen auf. Wie werden autonome Fahrzeuge in das aktuelle Verkehrssyst
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 8:1852-1862
Publikováno v:
IEEE Transactions on Control Systems Technology. 30:1934-1945
Autor:
J. Christian Gerdes, John K. Subosits
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 6:546-558
In this paper, we quantify the impacts of model fidelity on the effectiveness of trajectory optimization for autonomous vehicles when driving at the limits of friction through experiments with a full-size vehicle. Models ranging from a double-track m
Publikováno v:
IEEE Transactions on Robotics. 37:1313-1325
In this article, we propose a nonlinear receding horizon game-theoretic planner for autonomous cars in competitive scenarios with other cars. The online planner is specifically formulated for a multiple-car autonomous racing game, in which each car t
Publikováno v:
2022 IEEE Intelligent Vehicles Symposium (IV).
Autor:
Elliot Weiss, J. Christian Gerdes
Rendering accurate multisensory feedback is critical to ensure natural user behavior in driving simulators. In this work, we present a virtual reality (VR)-based Vehicle-in-the-Loop (ViL) simulator that provides visual, vestibular, and haptic feedbac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d78eeef9c191867ff828338122686fa
http://arxiv.org/abs/2203.03043
http://arxiv.org/abs/2203.03043